Giving Autonomous Vehicles the Ability to Reason

Yen-Ling Kuo at the University of Virginia School of Engineering and Applied Science is collaborating with a team at the Toyota Research Institute to build language representations of driving behavior that enable a robot to associate the meaning of words with what it sees by watching how humans interact with the environment or by its own interactions with the environment. Read on to learn more.

RTK and Sensor Fusion for Autonomous Vehicle Navigation & Guidance

This is an exciting time in robotics and vehicle automation, and sensors of all kinds provide critical data to drive this technology forward. But the sensor stack for AVs and ADAS is incomplete without a reliable source of absolute positioning. Read on to learn more.

‘Attacker’ Device to Protect AVs from Cyberattacks

To help improve the safety and security of AVs, researchers have devised a novel algorithm designed to mimic an attacking device. The algorithm lets researchers identify areas for improvement in autonomous vehicle security.

Leveraging AI for EV Performance Improvement

As commercial fleets adopt more electric vehicles, they need accurate state-of-health measurements and smart charging algorithms to ensure their EVs have minimum unscheduled downtime. To solve these problems effectively, we need comprehensive data collection, capable computing infrastructure, and intelligent algorithms.

Videos of the Month

See the videos of the month, including one on data connectivity, one on democratizing analytics, one on self-driving cars, and more.

Advanced Electrical Architectures Demand New Developmental Strategies

As the need for sophisticated functionality increases, high-performance computers and zone controllers could be the heart of next-generation vehicle electrical platforms.

How Much Do You Know About Sensor Fusion for Navigation Systems?

Sensor fusion is an important element of navigation systems especially with the rapid growth of driving automation. At each step of the levels of driving automation from ADAS toward driverless vehicles, sensor fusion becomes more critical.

Physics-Aware Neural Networks Improve Camera-Based Machines

Researchers from UCLA and the United States Army Research Laboratory have laid out a new approach for enhancing artificial intelligence-powered computer vision technologies by...